AZW SER
Geekbench AI Score
1650
Single Precision Score
822
Half Precision Score
2186
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 06:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
96% |
1961
366.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
2347
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3031
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
4413
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
58% |
1411
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
3568
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3076
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1096
8.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
4094
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5488
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4385
5.64 IPS |
|
|
Style Transfer (Q)
|
87% |
5735
7.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1326
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
97% |
657
880.4 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1196
23.1 IPS |
